Research on Bidding Strategy of Virtual Power Plant Considering Dynamic Time-varying Domain

Abstract

In the ancillary service market, different ancillary service products have different requirements for the time domain response behavior of bidding resources. Therefore, when virtual power plants(VPPs) aggregate management of controllable loads with many orders and significant difference in response characteristic, In addition to considering the power characteristics of controllable loads, they also need to consider the correspondence between the time domain response performance of controllable loads and different ancillary service demand. Firstly, the definition of time-varying feasible set of virtual power plant is clarified, and the dynamic partition construction method of virtual power plant is proposed to quantitatively analyze the fit of virtual power plant to different auxiliary services; Then, taking the virtual unit formed by aggregation as the minimum unit, an auxiliary service optimization bidding strategy considering the performance difference of bidding resources is constructed. Finally, a numerical example proves that the index ranking classification method can form a better bidding strategy, and verifies the feasibility and rationality of the virtual power plant optimization bidding strategy considering the difference in response performance of controllable loads.